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Mario Lucia Elite Prospects ↗

Position: Forward DOB: 1993-08-25 Country: USA
2011 · Round 2, Pick #60  ·  Minnesota Wild Minnesota Wild
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2010-11 U.S. National U18 Team NTDP-U18 15 4 1 5 0.333 0.2477 0.2464 1.2437 1.2370
2011-12 Penticton Vees BCHL 56 42 51 93 1.661 0.6399 0.6620 2.4168 2.5004
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2015-16 Notre Dame D1 BigTen SR 37 12 12 24 0.649
2014-15 Notre Dame D1 BigTen JR 42 21 10 31 0.738
2013-14 Notre Dame D1 BigTen SO 40 16 15 31 0.775
2012-13 Notre Dame D1 CCHA-orig FR 32 12 11 23 0.719
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.72
2012-13 · Notre Dame
+69.4% vs. projection

NCAAe Rankings

#6579
Forward overall
#295
Forward born in 1993

D1 Comparables

Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.73 Elite
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.66 Strong
NCAAe PPG
Nick Schilkey
USHL · 2012-13 · 1.20 PPG
→ Ohio State (0.70 D1 FR PPG)
0.71 Strong
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.